Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
- opencv
- image-processing
- omr
- omr-sheet
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Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
A curated list of gradient boosting research papers with implementations.
Scalable, event-driven, deep-learning-friendly backtesting library
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
A Python Pandas implementation of technical analysis indicators
A curated list of Monte Carlo tree search papers with implementations.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Python live trade execution library with zipline interface.
A Steam trading library for python 3
A slight upgrade to the Gremlins in your code
TranslatedShanghai Future CTP Interface CTP Python API Wrapper
framework for large-scale SAR satellite data processing
A Fancy Clock built around a monitor and a Raspberry Pi
🎯 A comprehensive gradient-free optimization framework written in Python
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
A Python native dynamical system simulation framework in the block diagram paradigm.
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Convert and edit files with a liquid-glass radial menu: start dragging a file, press Shift, drop it on a slice. Windows, Mac and Linux.
RELATE is an Environment for Learning And TEaching
Low-latency local speech-to-speech voice assistant with Ming-3.0-audio-tiny on AMD and Nvidia GPUs. Easy setup on Windows and Linux
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot